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Java Elasticsearch Jobs in California (NOW HIRING)

Qualcomm

AI Software Developer, Staff

San Diego, CA · On-site

Python, Java, TypeScript, Angular / React and React Native for web. • Data: SQL and NoSQL systems; Search/Elasticsearch (design, indexing, performance tuning). • Cloud expertise / Certified ...

Amazon

Sr. SDE, Amazon OpenSearch Service

Santa Clara, CA · On-site

$143K - $189K/yr

Customers today run workloads across legacy OpenSearch and Elasticsearch deployments as well as ... You will work with technologies including Rust, Java, Python, Go, and AWS services while building ...

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Java Elasticsearch information

What is a Java Elasticsearch developer?

Java Elasticsearch developers are software engineers who specialize in integrating and utilizing Elasticsearch, a powerful search and analytics engine, within Java-based applications. They design, implement, and optimize search functionalities, ensuring efficient data indexing, querying, and retrieval. Their responsibilities often include configuring Elasticsearch clusters, developing RESTful APIs, and troubleshooting performance issues to provide scalable search solutions.

What are some common challenges Java developers face when integrating Elasticsearch into applications?

Java developers often encounter challenges such as handling complex query structures, optimizing search performance, and ensuring data consistency between the application and Elasticsearch clusters. Additionally, understanding Elasticsearch's distributed architecture and tuning it for scalability can require a learning curve. Collaborating closely with DevOps and data engineering teams is essential to monitor cluster health and manage index mappings effectively.

What are the key skills and qualifications needed to thrive as a Java Elasticsearch developer, and why are they important?

To thrive as a Java Elasticsearch Developer, you need strong Java programming skills, experience with Elasticsearch, and a background in software engineering or computer science. Familiarity with tools like Kibana, Logstash, RESTful APIs, and relevant certifications such as Elasticsearch Engineer can enhance your technical proficiency. Problem-solving skills, attention to detail, and effective communication are crucial soft skills for managing complex data requirements and collaborating with teams. These skills ensure the development of efficient, scalable search solutions that meet business and user needs.

What is the difference between Java Elasticsearch vs Java Developer?

AspectJava ElasticsearchJava Developer
Primary FocusImplementing search and analytics solutions using Elasticsearch with JavaDeveloping Java applications across various domains
Required SkillsJava, Elasticsearch, REST APIs, data modelingJava, object-oriented programming, frameworks like Spring
Work EnvironmentData-driven projects, search engine optimization, big dataSoftware development, application design, system integration
CertificationsElasticsearch certifications, Java certificationsJava certifications (Oracle Certified Java Programmer)

Java Elasticsearch specialists focus on integrating Elasticsearch with Java to build search and analytics solutions, while Java Developers have a broader role in developing various Java applications. Both roles require Java skills, but Elasticsearch roles emphasize search engine knowledge and data handling, making them more specialized within the Java ecosystem.

What are popular job titles related to Java Elasticsearch jobs in California?

For Java Elasticsearch jobs in California, the most frequently searched job titles are:

What job categories do people searching Java Elasticsearch jobs in California look for?

The top searched job categories for Java Elasticsearch jobs in California are:

What cities in California are hiring for Java Elasticsearch jobs?

Cities in California with the most Java Elasticsearch job openings:

Java Elasticsearch jobs near you
Infographic showing various Java Elasticsearch job openings in California as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 3% Part Time, and 16% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Staff Software Engineer, Full Stack - QuickBooks Capital & Lending

Intuit

Mountain View, CA • On-site

$202K - $274K/yr

Full-time

Posted 23 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies

Job description

QuickBooks is the platform that powers millions of small businesses and accountants around the world. Within it, the QuickBooks Capital & Lending team builds the software that helps small businesses access the capital they need to grow - bringing together real-time financial data, risk and decisioning models, and delightful product experiences at scale.
You'll join a team of engineers building cloud-native, AI-powered software on a modern stack: Java/Kotlin and Spring Boot on the back end; React and TypeScript on the front end; Kafka, Elasticsearch, and SQL/NoSQL data stores; all running on Kubernetes and AWS. We ship continuously, instrument everything, and lean into AI both in the products we build and in how we build them.
If you love solving real-world problems end-to-end, raising the engineering bar for those around you, and shipping clean, well-architected code across the full stack, this role is for you. It's time to love what you do.
Responsibilities
  • Drive significant technical initiatives end-to-end and across every layer of the stack - from API and data design to front-end experience.
  • Architect and build scalable, secure, cloud-native applications and services that interoperate cleanly with the systems around them.
  • Stay hands-on - roughly 70% of your time is spent coding - while setting the technical direction for your team.
  • Act as the technical subject-matter expert: lead the design of complex features, mentor engineers, and lead a small team through hard programming and design problems.
  • Lead requirements gathering, technical design, and project and test planning.
  • Identify high-impact opportunities to apply AI - both to enhance our products and to accelerate our own engineering - and coach the team on using AI tools and techniques effectively and responsibly.
  • Take AI-powered features to production and evaluate their impact on performance and customer outcomes with the right metrics.
  • Champion engineering quality: automated testing, CI/CD, observability, performance, security, accessibility, and internationalization.
  • Communicate clearly through crisp technical docs and design reviews, and partner across product, design, QE, and other engineering teams to deliver results.
  • Own quality through the full lifecycle, resolving issues across QA, pre-production, production, and post-release.

Qualifications
Minimum qualifications
  • 8+ years designing and developing online SaaS applications with full-stack expertise across front end and back end.
  • BS/MS in Computer Science or equivalent practical experience.
  • Strong back-end expertise in Java and/or Kotlin with Spring Boot (or comparable modern frameworks).
  • Strong front-end expertise with JavaScript, TypeScript, and React (or a comparable modern framework).
  • 5+ years building and consuming web APIs (REST, and ideally gRPC and/or GraphQL) and designing service interfaces.
  • Deep command of the full software development lifecycle and the software design and architecture process.
  • Experience with automated testing and Test-Driven Development (TDD), and with CI/CD pipelines.
  • Strong technical leadership: setting direction, running design reviews, presenting, and serving as the cross-functional go-to person.
  • Excellent communication skills - able to explain complex technical topics to technical and non-technical audiences alike.
  • Experience working in Agile/Scrum teams.

Preferred / nice to have
  • Cloud-native development on AWS with microservices, containers, and Kubernetes.
  • Experience with event streaming (Kafka), search (Elasticsearch), and SQL/NoSQL database design.
  • Hands-on experience building or integrating AI/GenAI capabilities (e.g., LLM prompting, retrieval, model integration) and monitoring them in production.
  • Experience with observability and instrumentation (metrics, logging, tracing) for production services.
  • Business acumen - strategic thinking and the ability to connect engineering decisions to customer and business outcomes.
  • A track record of building strong teams: setting and evangelizing a vision, facilitative leadership, and attracting and growing talent.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
The expected base pay range for this position is:
Mountain View $202,500 - $274,000

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